code: def __init__(self, max_features, max_examples):
      super(Data, self).__init__()
  
      self._max_features = max_features
      self._max_examples = max_examples
  
      self._data = np.random.rand(max_examples, max_features).astype(
          np.float32
      )
  
      self._features = None
      self._examples = None
      self._batchsize = None
  
file_path: tfdeploy/tests/perf/measure_runtimes.py
imports: import os
  import time
  import json
  import uuid
  import itertools
  import collections
  import numpy
  import tensorflow
  import tfdeploy
label_desc: Use image node_id 1 to create a new Data object from inherited base classes: object with example: obj = Data(max_features, max_examples)